Wranglers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Tommy Barr | Morale : 50 | Moyenne d'Équipe : 63
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Statistiques d'Équipe


Directeur généralTommy Barr
Pacific Division
Western Conference




Capacité de l'Aréna5,000
Assistance
5,000




21
20
41 / 55
Éspoirs23


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
1Egor Afanasyev (R)0XX100.00755198718147555645646955626262050710222789,167$
2Logan Brown0XX100.00715296698245555755686955636363050710253787,500$
3Matthew Phillips0X100.00526384595776884965626655572540050660253787,500$
4Emil Heineman (R)0X100.00533683577858454636576653562540050640212897,500$
5Egor Sokolov (R)0X100.00546281575675874636626546552540050640231925,000$
6Adam Gaudette0XX100.00546381565576884565596548552540050630262902,500$
7Hugh McGing (R)0XX100.00536481545479914136596443532540050620243869,500$
8Spencer Smallman0X100.00536382535376884036586444522540050610263777,750$
9Henry Bowlby (R)0X100.00536282535375874065586443522540050600262776,364$
10Josh Doan (R)0X100.00513785536258454036586443522540050590211750,000$
11Mitchell Balmas (R)0X100.00523583535958453965566442522540050580253750,000$
12Collin Adams (R)0X100.00515385515458613736566338502540050570251925,000$
13Kevin Gravel0X100.00715197698153555940656855646464050720311762,500$
14Emil Andrae (R)0X100.00533582557358454336606438532540050610211750,000$
15Alex Vlasic (R)0X100.00525883535366763936596343512540050590222916,667$
16Nate Clurman0X100.00535982525367773836586342512540050590251750,000$
17Tommy Cross0X100.00536482515379913736576336502540050590331750,000$
18Colton Poolman0X100.00526184525273843736576342502540050590271787,500$
Rayé
1Michael Vukojevic (R)0X100.00525783515263733736566337502540050570222925,000$
MOYENNE D'ÉQUIPE100.0056548556616570434459654554314405062
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
1Mack Guzda100.0073655676766371757573742555050740222925,000$
2Kenneth Appleby100.0070655352686066556071622555050630283793,000$
Rayé
MOYENNE D'ÉQUIPE100.007265556472626965687268255505069
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam GaudetteWranglers (CGY)C/RW261996-10-03No194 Lbs6 ft0NoNoNo2Pro & Farm902,500$300,833$902,500$300,833$0$0$No902,500$Lien / Lien NHL
Alex VlasicWranglers (CGY)D222001-06-05Yes218 Lbs6 ft6NoNoNo2Pro & Farm916,667$305,556$916,667$305,556$0$0$No916,667$Lien / Lien NHL
Collin AdamsWranglers (CGY)LW251998-04-24Yes200 Lbs5 ft9NoNoNo1Farm Only925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Colton PoolmanWranglers (CGY)D271995-12-18No200 Lbs6 ft0NoNoNo1Pro & Farm787,500$262,500$787,500$262,500$0$0$NoLien / Lien NHL
Egor AfanasyevWranglers (CGY)C/LW222001-01-23Yes201 Lbs6 ft4NoNoNo2Pro & Farm789,167$263,056$789,167$263,056$0$0$No789,167$Lien / Lien NHL
Egor SokolovWranglers (CGY)LW232000-06-07Yes222 Lbs6 ft3NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Emil AndraeWranglers (CGY)D212002-02-23Yes176 Lbs5 ft9NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Emil HeinemanWranglers (CGY)LW212001-10-26Yes185 Lbs6 ft1NoNoNo2Pro & Farm897,500$299,167$897,500$299,167$0$0$No897,500$Lien / Lien NHL
Henry BowlbyWranglers (CGY)C261997-02-26Yes195 Lbs6 ft2NoNoNo2Pro & Farm776,364$258,788$776,364$258,788$0$0$No776,364$Lien / Lien NHL
Hugh McGingWranglers (CGY)LW/RW241998-07-11Yes176 Lbs5 ft8NoNoNo3Pro & Farm869,500$289,833$869,500$289,833$0$0$No869,500$869,500$Lien / Lien NHL
Josh DoanWranglers (CGY)RW212002-02-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Kenneth ApplebyWranglers (CGY)G281995-04-10No210 Lbs6 ft4NoNoNo3Pro & Farm793,000$264,333$793,000$264,333$0$0$No793,000$793,000$Lien / Lien NHL
Kevin GravelWranglers (CGY)D311992-03-06No205 Lbs6 ft4NoNoNo1Pro & Farm762,500$254,167$762,500$254,167$0$0$NoLien / Lien NHL
Logan BrownWranglers (CGY)C/LW251998-03-05No228 Lbs6 ft6NoNoNo3Pro & Farm787,500$262,500$787,500$262,500$0$0$No787,500$787,500$Lien / Lien NHL
Mack GuzdaWranglers (CGY)G222001-01-11No215 Lbs6 ft5NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Matthew PhillipsWranglers (CGY)C251998-04-06No140 Lbs5 ft7NoNoNo3Pro & Farm787,500$262,500$787,500$262,500$0$0$No787,500$787,500$Lien / Lien NHL
Michael VukojevicWranglers (CGY)D222001-06-08Yes215 Lbs6 ft3NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Mitchell BalmasWranglers (CGY)C251998-03-19Yes192 Lbs6 ft0NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Lien / Lien NHL
Nate ClurmanWranglers (CGY)D251998-05-08No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Spencer SmallmanWranglers (CGY)RW261996-09-09No198 Lbs6 ft1NoNoNo3Pro & Farm777,750$259,250$777,750$259,250$0$0$No777,750$777,750$Lien / Lien NHL
Tommy CrossWranglers (CGY)D331989-09-12No209 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.76198 Lbs6 ft11.90823,688$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Egor AfanasyevLogan BrownAdam Gaudette30122
2Egor SokolovMatthew PhillipsHugh McGing30122
3Emil HeinemanHenry BowlbySpencer Smallman20122
4Collin AdamsMitchell BalmasJosh Doan20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin GravelEmil Andrae30122
2Nate ClurmanTommy Cross30122
3Alex VlasicColton Poolman20122
4Kevin GravelEmil Andrae20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Egor AfanasyevLogan BrownAdam Gaudette50122
2Egor SokolovMatthew PhillipsHugh McGing50122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin GravelEmil Andrae50122
2Nate ClurmanTommy Cross50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Logan BrownEgor Afanasyev50122
2Matthew PhillipsEgor Sokolov50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin GravelEmil Andrae50122
2Nate ClurmanTommy Cross50122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Logan Brown50122Kevin GravelEmil Andrae50122
2Egor Afanasyev50122Nate ClurmanTommy Cross50122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Logan BrownEgor Afanasyev50122
2Matthew PhillipsEgor Sokolov50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin GravelEmil Andrae50122
2Nate ClurmanTommy Cross50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Egor AfanasyevLogan BrownAdam GaudetteKevin GravelEmil Andrae
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Egor AfanasyevLogan BrownAdam GaudetteKevin GravelEmil Andrae
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Emil Heineman, Spencer Smallman, Henry BowlbyEmil Heineman, Spencer SmallmanHenry Bowlby
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Vlasic, Colton Poolman, Nate ClurmanAlex VlasicColton Poolman, Nate Clurman
Tirs de Pénalité
Logan Brown, Egor Afanasyev, Matthew Phillips, Egor Sokolov, Emil Heineman
Gardien
#1 : Mack Guzda, #2 : Kenneth Appleby
Lignes d'Attaque Perso. en Prol.
Logan Brown, Egor Afanasyev, Matthew Phillips, Egor Sokolov, Emil Heineman, Adam Gaudette, Adam Gaudette, Hugh McGing, Spencer Smallman, Henry Bowlby, Josh Doan
Lignes de Défense Perso. en Prol.
Kevin Gravel, Emil Andrae, Nate Clurman, Tommy Cross, Alex Vlasic


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna35001500
Prix des Billets5025
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 17,297,448$ 17,297,448$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$




Wranglers

# Nom du Joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Evan Bouchard7229414308-23018811572040.83%156188226.1558260138415112180.00%573.2700
2Matt Kiersted1647610317991428415352414.50%191346121.106162253246131010.00%11.0300
3Logan Brown1645483137-561023417550510.69%83281017.1468143201153447.16%30.9713
4Hugh McGing24635100135-781593702004637.56%107457218.59327304902275243.76%10.5903
5Henry Bowlby1644072112-25592352174019.98%97284217.3467132412367244.45%10.7901

Wranglers

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Kenneth Appleby67352840.9013.4940250023423671661800.5002
2Mack Guzda73244540.8824.2844020031426631619340.63611
3Colten Ellis155910.8744.209014163500345110.0000
4Jiri Patera92700.8754.345390039311183000.0000

Wranglers

LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
202182195202711318573-25541132201410170256-864163001301148317-1695231851082814010611792178805326326192126811169819911936131.61%1495364.43%6509103649.13%467103645.08%704148247.50%1967141418705611098507
202282373703401298299-1412513012001701304041122402201128169-418529853182911991108632658911893840172868104427816691403424.29%1392780.58%11675138648.70%536118945.08%526113146.51%1701102918656751366683
202382195207103262360-9841102305102136171-354192902001126189-635626243669840110757083268119010471006362978115048818341222520.49%1293076.74%2827165450.00%699143748.64%560119546.86%1808116018366481303637
Total Saison Régulière2467514101212158781232-354123485807712476557-81123278305503402675-27319387814772355652092912731037714210124722478672797230052464549445512026.37%41711073.62%192011407649.34%1702366246.48%1790380847.01%547736055572188637681827

Wranglers

# Nom du Joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Wranglers

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA